---
title: Anomaly Detection Monitors
sidebarTitle: "Monitors overview"
---

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ML-powered anomaly detection monitors automatically identify outliers and unexpected patterns in your data.
These are useful to detect issues such as incomplete data, delays, a drop in a specific dimension or a spike in null values.

Elementary offers two types of monitors: 

- **Automated Monitors** - Out-of-the-box monitors activated automatically, that query metadata only. 
- **Opt-in Monitors** - Monitors that query raw data and require configuration.

## [Automated monitors](/features/anomaly-detection/automated-monitors)

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## Opt-in monitors

_Coming soon_

## How anomaly detection works?

_🚧 Under construction 🚧_

## Monitor results

_🚧 Under construction 🚧_